MEDIAL SEPTAL POPULATION DYNAMICS ENCODE SPATIAL VARIABLES AND PREDICT HIPPOCAMPAL PLACE-CELL ACTIVITY
University of Copenhagen, Faculty of Health and Medical Sciences
Presentation
Date TBA
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Poster Board
PS04-08PM-657
Poster
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Here, we used large-scale Neuropixels recordings simultaneously targeting the MS and hippocampus, together with pupillometry as a proxy for arousal state, during a spatial alternation task on a theta-shaped maze. By analyzing MS population activity with CEBRA, we decoded the animal’s position and direction, its running speed, as well as combinations of these variables. Decoding accuracy was consistently higher for the labelled data compared to shuffled controls across all auxiliary variables. Moreover, oscillatory principal components extracted from the MS population activity predicted hippocampal place-cell firing rates more accurately than hippocampal theta LFP, underscoring the role of the MS in organizing place-cell assemblies. These findings motivate future optogenetic manipulations aimed at causally linking MS population dynamics to spatial navigation and hippocampal place-cell organization.
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